The enduring afterlife of Before Tomorrow: Inuit survivance and the spectral cinema of Arnait Video Productions
Bibliographic record
Abstract
This essay investigates how the filmmakers of Igloolik-based women’s collective Arnait Video Productions invent and combine various techniques and strategies of spectrality and survivance to create a powerful, cinematic form of Inuit cultural resistance and resilience. I borrow the concept of “survivance” from Anishnaabe literary theorist Gerald Vizenor who uses it to explain how Aboriginal literary and linguistic traditions continue to flourish in contemporary media despite and in response to colonialism’s systemic suppression of oral traditions. With this concept I analyze the way Arnait’s films re-enact and revive Inuit culture and oral tradition in the abiding voice and spirit of the dead whose creative art of living resists extinction. Arnait has to date produced three feature films: two fictional filmsBefore Tomorrow(2009) andUvanga(2013), and a documentarySol(2014). I demonstrate that all three films exhibit this uncanny mix of spectrality and survivance with focus on Arnait’s debut film as a case study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".